• Title/Summary/Keyword: hierarchical fuzzy process

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An Improved Company Assessment Framework Based on Job Seekers' Preferences Using Fuzzy-Analytic Hierarchy Process(AHP) (퍼지-AHP를 활용한 구직자의 기업평가 모형 개선 연구)

  • Lee, Choongseok;Ryou, Okhyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.1
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    • pp.90-100
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    • 2015
  • This study is conducted to suggest ways to mitigate the mismatch phenomenon between job seekers who want to find right company for themselves and companies looking for appropriate new employees. For this purpose, this study improves the company assessment framework reflecting job seekers interests by using fuzzy analytic hierarchy process. The improved evaluation framework is a three-level hierarchical structure, where there are 4 groups at the top level, 12 factors at the intermediate level and 36 indexes at the bottom level. For the empirical analysis of the applicants preferences based on the improved model, a survey for F-AHP analysis is carried out to university students and then priorities of components in the evaluation model are calculated. Moreover, the differences of priority of the company assessment framework are analyzed for different genders, college years, and major divisions. The results show that job seekers' most concerning factors are wages, stability, working environments, and labor deal, which are ranked highly in this order and the differences in preferences for each type of job seekers (genders, college years, and major divisions) are obvious. The results also show that the male prefers wages to environment, on the other hand female does working environment to wages.

Effectual Fuzzy Query Evaluation Method based on Fuzzy Linguistic Matrix in Information Retrieval (정보검색에서 퍼지 언어 매트릭스에 근거한 효율적인 퍼지 질의 평가 방법)

  • 최명복;김민구
    • Journal of the Korean Institute of Intelligent Systems
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    • v.10 no.3
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    • pp.218-227
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    • 2000
  • In this paper, we present a new fuzzy information retrieval method based on thesaurus. In the proposed method th thesaurus is represented by a fuzzy linguistic matrix, where the elements in fuzzy linguistic matrix represent a qualitative linguistic values between terms. In the fuzzy linguistic matrix, there are three kinds of fuzzy relationships between terms, i.e., similar relation, hierarchical relation, and associative relation. The implicit fuzzy relationships between terms are inferred by the transitive closure of the fuzzy linguistic matrix based on fuzzy theory. And the proposed method has the capability to deal with a qualitative linguistic weights in a query and in indexing of information items to reflect qualitative measure of human based on vague and uncertain decisions rather than a quantitiative measure. Therefore the proposed method is more flexible than the ones presented in papers[1-3]. Moreover our method is more effectual of time than the ones presented in papers[1-3] because we use a fuzzy linguistic matrix and AON (Associate Ordinary Number) values in query evaluation process. As a result, the proposed method allows the users to perform fuzzy queries in a more flexible and more intelligent manner.

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Recursive Fuzzy Partition of Pattern Space for Automatic Generation of Decision Rules (결정규칙의 자동생성을 위한 패턴공간의 재귀적 퍼지분할)

  • 김봉근;최형일
    • Journal of the Korean Institute of Intelligent Systems
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    • v.5 no.2
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    • pp.28-43
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    • 1995
  • This paper concerns with automatic generation of fuzzy rules which can be used for pattern classification. Feature space is recursively subdivided into hyperspheres, and each hypersphere is represented by its centroid and bounding distance. Fuzzy rules are then generated based on the constructed hyperspheres. The resulting fuzzy rules have very simple premise parts, and they can be organized into a hierarchical structure so that classification process can be implemented very rapidly. The experimented results show that the suggested method works very well compared to other methods.

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Overall Analysis of Competitiveness of Asian Major Ports Using the Hybrid Mechanism of FCM and AHP (FCM법과 AHP법을 융합한 아시아 주요항만의 경쟁력에 관한 종합적 분석에 관한 연구)

  • Lee, Hong-Girl
    • Journal of Navigation and Port Research
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    • v.27 no.2
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    • pp.185-191
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    • 2003
  • The aim of this research is to overall analyze/classify characteristics of Asian major ports. To achieve this aim, we firstly pointed out critical problems on research methodology and research scope which most of previous research have, from related literature review. In order to overcome those problems, major ports in A냠 were selected by the objective indicators, and both algorithms of AHP(Analytic Hierarchical Process) and FCM(Fuzzy C-Means) that revise weakness in previous clustering method were used. Through these hybrid approach, it were found that only 10 ports of 16 major Asian ports had their own phases in Asian major ports. Those 10 ports were classified into 6 port groups, and also membership degree of each port within the 4 port groups and ranking of each ports seer analyzed. Finally, based on results of these analysis, present status and future direction of Busan port were discussed.

Design of high speed weighted FDNN applied DWW algorithm (DWW 알고리즘을 적용한 고속 가중 FDNN의 설계)

  • 이철희;변오성;문성룡
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.35C no.7
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    • pp.101-108
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    • 1998
  • In this paper, after we got to realized FDNN (fuzzy decision neural network) applied the quantization triangularity fuzzy function to DBNN(decision based neural network) of a hierarchical structure for image process, we could esign hardware of the realized FDNN. Also it is normalized the standard image and the input image as the same size. We are applied DWW algorithm which selected the closest value with finding similarity of an interval image by this distance to FDNN. So we could calulated in terms of distance to weight of pixel which composed two image and eliminated the nise of image, minimized the lost of information, obtained the optimal information. It is designed hardware of high speed weighted FDNN using COMPASS tool. Aslo, the total circuit is realized as gates of 61,000 and could show to superiority of FDNN using the simulation.

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Performance Improvement of MOS type FDIS using Fuzzy Logic (퍼지논리를 이용한 다중관측자 구조 FDIS의 성능개선)

  • Ryu, Ji-Su;Park, Tae-Geon;Lee, Kee-Sang
    • Proceedings of the KIEE Conference
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    • 1998.07b
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    • pp.410-413
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    • 1998
  • A passive approach for enhancing fault detection and isolation performance of multiple observer based fault detection isolation schemes(FDIS) is proposed. The FDIS has a hierarchical framework to perform detection and isolation of faults of interest, and diagnosis of process faults. The decision unit comprises of a rule base and fuzzy inference engine and removes some difficulties of conventional decision unit which includes crisp logic and threshold values. Emphasis is placed on the design and evaluation methods of the diagnostic rule base. The suggested scheme is applied for the FDIS design for a DC motor driven centrifugal pump system.

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Fuzzy Set Theory와 AHP를 적용한 CFMS 화면설계의 인간공학적 평가

  • 정광태;이용희
    • Proceedings of the ESK Conference
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    • 1996.04a
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    • pp.76-81
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    • 1996
  • CFMS(Critical Function Monitering System)는 원자력발전소에서 비상시 제어실 운전원에게 원전의 안전상태에 대한 정보를 제공하는 기능을 갖는데, 원전의 안전성을 위해 인간공학적 확인 및 검증(V&V)이 요구된다. 본 연구에서는 CFMS 화면설계의 인간공학적 평가를 위하여, 원전의 안전성에 대한 평가항목들의 상대적 중요도를 구하고 최종적으로 설계의 적합성을 평 가하는 방법론을 제시하고자 한다. 본 연구에서는 CFMS 화면설계의 평가항목 및 평가기준 확립, 원전에서 인적오류발생 가능성에 대한 평가항목의 상대적 중요도 결정, 분석하고자 하는 CFMS 화면에 대한 각 평가항목들의 인간공학적 설계의 적합성 평가로구성된다. CFMS의 인간공학적 평가를 위한 방법론으로 Fuzzy Set Theory와 AHP(Analytic Hierarchical Process) 기법을 적용 한 방법론을 제시하였다. 최종적으로는 전문가의 평가를 통하여 국내 건설되는 원전의 실제적인 문제에 적용하고자 한다.

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Discretization of Numerical Attributes and Approximate Reasoning by using Rough Membership Function) (러프 소속 함수를 이용한 수치 속성의 이산화와 근사 추론)

  • Kwon, Eun-Ah;Kim, Hong-Gi
    • Journal of KIISE:Databases
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    • v.28 no.4
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    • pp.545-557
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    • 2001
  • In this paper we propose a hierarchical classification algorithm based on rough membership function which can reason a new object approximately. We use the fuzzy reasoning method that substitutes fuzzy membership value for linguistic uncertainty and reason approximately based on the composition of membership values of conditional sttributes Here we use the rough membership function instead of the fuzzy membership function It can reduce the process that the fuzzy algorithm using fuzzy membership function produces fuzzy rules In addition, we transform the information system to the understandable minimal decision information system In order to do we, study the discretization of continuous valued attributes and propose the discretization algorithm based on the rough membership function and the entropy of the information theory The test shows a good partition that produce the smaller decision system We experimented the IRIS data etc. using our proposed algorithm The experimental results with IRIS data shows 96%~98% rate of classification.

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On the Evaluation of Physical Distribution Service in Ports (항만물류서비스의 평가에 관하여)

    • Journal of Korean Port Research
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    • v.10 no.2
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    • pp.17-29
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    • 1996
  • It is required to consider pricing and non-pricing factors and external economy in order to achieve the objects of physical distribution system in a port. Recently, among the three factors, much attention has been paid to non-pricing factor in the system. Although physical distribution service in a port(PDSP)has been frequently mentioned in documents and literature related to port and shipping studies, few study on it has not been systematically and scientifically made due to the following problems; $\circ$ there are not proper criteria to evaluate level and quality of PDSP and as a result it is difficult to set up a unified standard for doing so. $\circ$ algorithms to evaluate problems with complex and ambiguous attributes and multiple levels in PDSP are not available. This thesis aims to establish a paradigm to evaluate PDSP and to abvance existing decision making methods to deal with complex and ambiguous problems in PDSP. To tackle the first purpose, extensive and thorough literature survey was carried out on general physical distribution service, which is a corner stone to handle PDSp. In addition, through interviews and questionnaire to the expert, it have extracted 82 factors of physical distribution service in a port. They have been classified into 6 groups by KJ method and each group defined by the expert's advice as follows; a. Potentiality b. Exactness c. safety d. Speediness e. Convenience f. Linkage Prior to the service evaluation, many kinds of its attributes must be identified on the basis of rational decision owing to complexity and ambiguity inherent in PDSP. An analytical hierarchy process (AHP) is a method to evaluate them but it is not applicable to PDSP that have property of non-additivity and overlapped attributes. Therefore, probablility measure can not be used to evaluate PDSP but fuzzy measure is required. Hierarchical fuzzy integral method, which is merged AHP with fuzzy measure, is also not effective method to evaluate attributes because it has vary complicated way to calculate fuzzy measure identification coefficient of attributes. A new evaluation algorithm has been introduced to solve problems with multi-attribute and multi-level hierarchy, which is called hierarchy fuzzy process(HFP).Analysis on ambiguous aspects of PDSP under study which is not easy to be defined is prerequisite to evaluate it. HFP is different from algorithm existed in that it clarified the relationship between fuzzy measure and probability measure adopted in AHP and that it directly calculates the family of fuzzy measure from overlapping coefficient and probability measure to treat and evaluate ambiguous and complex aspects of PDSP. A new evaluation algorithm HFP was applied to evaluate level of physical distribution service in the biggest twenty container port in the world. The ranks of the ports are as follows; 1. Rotterdam Port, 2. Hamburg Port, 3. Singapore Port, 4. Seattle Port, 5. Yokohama Port, 6. Long beach Port, 7. Oakland Port, 8. Tokyo Port, 9. Hongkong Port, 10. Kobe Port, 11. Los Angeles Port, 12. New york Port, 13. Antwerp Port, 14. Felixstowe Port, 15. Bremerhaven Port, 16. Le'Havre Port, 17. Kaoshung Port, 18. Killung Port, 19. Bangkok Port, 20. Pusan Port

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On the Effect of ON-DOCK System to the Sharpening of Competitiveness Edge of the Pusan Port (ON-DOCK 서비스 시스템이 부산항 경쟁력 향상에 미치는 영향)

  • Yang, W.;Lee, C.Y.
    • Journal of Korean Port Research
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    • v.13 no.1
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    • pp.1-10
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    • 1999
  • Port competition is generally classified into two type of inter-domestic ports and intermational ports and the latter is measured how to secure the function of intermediacy for foreign cargoes among competing parts. In the Northeast Asia top 20 world container ports such as Pusan, Kobe, Yokohama and Kaohsiung are struggling to induce transshipment containers generated in the North China region. This paper aims to analyze and evaluate the competitive factors of the said ports such as port site facilities expenses service level and flexibility of management and operations and suggest the feasible strategies that the Pusan Port to be viable transshipment center in the region. The evaluation is attempted twice. First attempt is evaluated by present conditions of each port and second attempt by upgraded conditions of evaluation value such as port service level and flexibility of port management and operations resulted from the implementation of the ON-DOCK service system. The results of evaluation are as follows; (1) Port competitiveness of first evaluation is ranked in Kobe=Kaohsiung >Pusan>Yokohama. (2) Second evaluation is resulted in Kobe> Pusan= Kaohsiung>Yokohama. According to this results the competitiveness edge of the Pusan Port is able to strengthen by implementation of the ON-DOCk system.

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